DocumentCode
2708640
Title
Multi-criteria optimization of steel alloys for crankshafts production
Author
Koprinkova-Hristova, Petia ; Tontchev, Nikolay ; Popova, Silviya
Author_Institution
Inst. of Inf. & Commun. Technol., Sofia, Bulgaria
fYear
2012
fDate
2-4 July 2012
Firstpage
1
Lastpage
5
Abstract
The paper presents application of multi-criteria optimization to steel alloy composition determination aimed at obtaining improved properties material for crankshafts production. Neural network model of steel mechanical characteristics in dependence on amounts of its alloying elements were used for simulation purpose. Then several Pareto optimal solutions were found based on obtained by simulation numerous compositions in the investigated region of interest.
Keywords
Pareto optimisation; alloying; production engineering computing; shafts; steel; Pareto optimal solutions; alloying elements; crankshafts production; multicriteria optimization; neural network model; simulation purpose; steel alloy composition; steel mechanical characteristics; Alloying; Materials; Neural networks; Optimization; Production; Steel; Pareto front; crankshafts; multi-criteria optimization; neural network modelling; steel alloys;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Conference_Location
Trabzon
Print_ISBN
978-1-4673-1446-6
Type
conf
DOI
10.1109/INISTA.2012.6246988
Filename
6246988
Link To Document